AI automation: decisions for leadership and management — Knowledge
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Source: AI automation: decisions for leadership and management — Knowledge
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Knowledge
AI automation: decisions for leadership and management
Articles for those who decide on AI in the organisation: which processes to automate and which not, how to choose a first pilot, what a workflow keeps costing after delivery, who owns it and which data passes through it. Always with the questions to ask beforehand rather than afterwards.
Decisions and control
The second implementation as proof
Once is a demo, twice is a pattern. What the second implementation demonstrates and what you need to measure.
Decisions and control
Who owns the AI workflow after delivery?
Ownership, access and a workable exit, agreed up front. Five questions to ask before anything gets built.
Decisions and control
Choosing an internal AI pilot: bounded risk
Choose your first AI pilot for learning speed, not the largest promised saving. Four criteria, and why the customer-facing pilot usually waits.
Decisions and control
What data does an AI workflow process?
The same eight questions for every workflow. Answer them beforehand, not halfway through the security review.
Decisions and control
Five AI workflows in professional services
Five familiar workflows, with the review point and the boundary you are better off respecting for each one.
Decisions and control
From AI idea to production in five decisions
A pilot rarely fails on technology. These five decision points determine whether an idea reaches production.
Decisions and control
Which processes can you automate with AI?
Four questions determine whether a process suits AI. In some cases, automation is the wrong answer.